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Swissquote is looking for a Junior Data Scientist to join our rapidly expanding Quantitative Research & Solutions department. This is an exciting opportunity for recent graduates with relevant internship experience in data science, machine learning or related fields, who are eager to launch their career in a fast-paced and innovative environment.
Responsibilities
Responsibilities
- Develop machine learning models.
- Design and develop data pipelines.
- Perform statistical data analysis.
- Develop and experiment with generative AI models, including leveraging proprietary APIs and fine-tuning pre-trained models for custom applications.
- Rapidly prototype models and conduct experiments to validate hypotheses and improve model performance.
- Work closely with cross-functional teams to gather requirements and deliver data-driven solutions.
- Communicate complex findings and insights to both technical and non-technical stakeholders, supporting data-driven decision-making.
- Educational Background: Master's degree in Data Science, Physics, Mathematics, Computer science or a related quantitative field.
- Experience: One or more relevant internships in data science, machine learning, or AI-related fields.
- Solid programming skills in Python , including experience with data manipulation and analysis libraries (e.g., pandas, NumPy).
- Hands-on experience developing machine learning models , either in academic projects or through internships, using libraries such as Scikit-learn , TensorFlow , or PyTorch .
- Familiar with version control tools
- Good understanding of statistical analysis techniques , including hypothesis testing , anomaly detection , and data modeling .
- Proficient in creating data visualizations using tools such as matplotlib, seaborn, or dashboards to communicate insights effectively.
- Basic understanding of LLM architectures (e.g., Transformer-based models) and experience experimenting with LLM APIs (such as OpenAI or Hugging Face) is a strong plus .
- Eagerness to learn and grow in a fast-paced environment.
- Good communication skills and team spirit.
- Analytical and problem-solving mindset.
- Ability to take initiative and manage time effectively.
Key Skills
Ranked by relevance
machine learning
ai
data analysis
tensorflow
matplotlib
pytorch
seaborn
python
pandas
numpy
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- Posted
- Aug 15, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Gland
- Company
- TieTalent
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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